Data Analytics Engineer Jobs

The AML Data Scientist will work under the supervision of a Functional Team Manager to provide ongoing support in terms of required analysis. The scope of analysis will cover all aspects of analysis performed by the team within different projects: Key Performance Indicator Driven Tuning and Tactical Tuning tasks, and data modeling/validation efforts depending on current needs and project plans. The Data Scientist will follow the globally consistent methodology but is expected to have a high level of initiative and creativity and suggest enhancements to current methodologies. The analyst evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. It requires good analytical skills to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication skills are required. Work and performance of all teams in the area are directly affected by the performance of the individual. Responsibilities : Apply quantitative and qualitative data analysis methods including Python (and R), SQL to extract, transform and analyze data. Prepare statistical and non-statistical data for visualization and exploration, validate data, identify data quality issues in AML risk related projects. Contribute towards AML Optimization techniques and related deliverables i.e. Optimizing monitoring systems, document optimization solutions, and present results to non-technical audiences; write formal documentation using statistical vocabulary. Build Machine Learning (Predictive Modeling/ Classification/ Regression) models. Conduct data analysis, data mining, read and create formal statistical documentation, and work with

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What will you be doing? Securing delivery on your projects Communicating your work and achievements among the team Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Ensuring that your solutions are bringing values to the client problematic Being a good team player, knowing your role and responsibility in the global ambition Key Responsibilities: Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis. Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing. Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like Pow

About us: Artefact is a global services company that sits at the intersection of consulting, data science, AI technologies and marketing. Our 1700+ people break Business and Tech silos and transform organizations into consumer-centric leaders using digital, data and AI. Key Responsibilities: Data Quality Analysis & Remediation: Collect, extract, and clean data from various sources to prepare comprehensive datasets for analysis This includes handling missing data, removing inconsistencies, and ensuring the data is structured correctly for further analysis. Analyze data using appropriate statistical techniques and tools to uncover trends, patterns, and anomalies in the information. This could involve anything from simple descriptive analysis to more complex exploratory data analysis Validate and cross-check analysis results to ensure accuracy. This involves verifying calculations, comparing findings against external or historical data for consistency, and investigating any irregularities in the results. Data Analysts are expected to be vigilant about data quality during analysis, catching any issues that might have passed initial data processing. Create clear, concise reports and visualizations to communicate findings. While the focus is on analysis rather than just creating dashboards, analysts will use tools like Power BI to illustrate key insights. They should present data in an understandable way for internal stakeholders, writing summaries that interpret the numbers and highlight important conclusions. Work closely with statisticians and other team members to interpret results and refine analysis approaches. This collaborative approach ensures that the analysis aligns with methodological standards and project goals. Analysts may adjust their methods based on feedback, contribute to discussions on what the data means, and help integrate their findings into broader census reports. Key Qualifications: Bachelor’s degree in a quantitative field such as Stati

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. About the Role: In this role, you will leverage your technical expertise to set up and maintain an accurate and comprehensive database of doctor profiles and healthcare institutes. The ideal candidate will possess a high level of attention to detail and a strong ability to work with large data sets. A Day in the Life of a Provider Data Operations Associate: Utilize SQL to extract, manipulate, audit and analyze data Build and maintain detailed provider profiles by merging data from multiple sources, ensuring accuracy and consistency. Use Excel/Google spreadsheets to manage and update large datasets, create reports, and conduct data analysis Review and verify the accuracy of provider information to ensure all details are up-to-date, and address any gaps or inconsistencies through outreach Ensure all data privacy and compliance standards are met Skills & Qualifications: At least a bachelor’s degree from a reputed institution (good percentage or a minimum of 60% in 10th/12th/graduation and above) At least 2 years of work experience Relevant experience in d

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Data Journalism department seeks an experienced journalist with programming and data analysis skills to be based in Texas and work in close collaboration with Times reporters across the Lone Star State. You'll combine traditional reporting with data collection and analysis to shed light on major storylines. You'll demonstrate a strong command of key Texas datasets. You'll have excellent data analysis skills, with the news judgment to match, and can design rigorous methodologies, bulletproofing your analyses and handling thorny data issues. Collaboration is at the heart of this role; you'll pair up with other reporters on virtually every story you pursue. You'll also help these colleagues to level-up their own data skills. And you'll be excited, in turn, about learning from them. This role requires you to be based in Texas. Although The Times does not yet have an office in the state, this position may later involve regular office attendance if The Times establishes an office in the city where you are based. You will report to the Data Editor, who is based in New York City. Important application requirement: Please submit a cover letter that highlights three relevant stories to which you made substantial contributions. For each story, please provide a link to the story and describe your contribution in one to three paragraphs. Aim to demonstrate a range of skills and variety of deadlines. Your cover letter should be no more than three page

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The Driver Earnings team at Lyft is responsible for managing our suite of driver earnings products, driving top business goals around financial metrics and marketplace performance. The team develops and improves automation & execution of driver earnings products, develops new earnings products, and manages financial performance of these products to manage the growth of the business. We are looking for an analyst to join the team that is responsible for working with cross-functional stakeholders to analyze and improve existing earnings products and manage the products’ financial outcomes within the broader Marketplace organization. You will influence existing and future strategy with your data analysis, insights, and storytelling to deliver strategic recommendations on experimentation and product improvements. We’re looking for a data & process-driven individual who has extraordinary attention to detail and a track record of analytical problem-solving. Responsibilities: Support marketplace operations to provide world-class analysis, product recommendations, and reporting to stakeholders. Become an expert in marketplace trends and support weekly reporting structures for the Rideshare organization. Develop domain-specific subject matter expertise in our lever portfolio and support cross-functional initiatives to improve existing products and develop new ones. Analyze marketplace product & financial levers and provide cross-functional teams with actionable insights on improvements and problem areas. Operate within Rideshare decision-making frameworks with a critical lens, evaluating areas of improvement and business growth opportunities. Prepare regular business reviews for leadership, highlighting key areas of focus. Work with stakeholders and other teams to track, report, and r

Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. We are present in 27 countries across all continents with a team of 2,500 employees, offering a comprehensive set of AI & data solutions built on deep data science and cutting-edge AI technologies. From strategy to operations, we partner with 1,000+ clients, including some of the world’s top 300 brands such as Samsung, L’Oréal and Sanofi. Our work spans the full data and AI value chain, including data strategy, data quality and governance, data platforms, AI solutions, and data-driven customer experiences. What you will be doing: Our Data Consulting department leads the way in effectively exploiting data & AI in all its forms. Do you want to help our clients define best-in-class data & AI strategies, drive transformations and build data & AI solutions that have impact? Join our dynamic consulting team and contribute to developing our international client portfolio! As a Junior Data Consultant , you will support national and international clients across various industries in developing and implementing innovative data & AI strategies. Your role will encompass: Client advisory: collaborate with clients alongside your (international) team to understand their business needs and goals, delivering data-driven recommendations that guide decision-making and strategy. Data Collection and organization: collect, clean, and prepare data for analysis, correcting errors and formatting it for statistical software. Ownership of project stream: drive individual workstreams, ensuring successful and timely delivery, in alignment with project goals. Data analysis and interpretation: use tools like Excel, SQL, and Python to analyze data, apply statistical techniques to uncover trends and patterns, and present clear, actionable insights to clients, ensuring clarity for both technical and non-technical audiences. What we are

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities include, but not limited to: Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interact with product and service teams to identify questions and issues for data analysis and experiments. Develop and code software programs, algorithms, simulation and optimization models, automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. Identify meaningful insights from large data and metadata sources. Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers. Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron. Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics. Drive global collaboration, alignment, and benchmarking of optimization and simulation solutions in planning & operations Leverage Artificia

The F&A team comprises multiple functions from Financials Control & Business Performance Management, Procurement, Digital Transformation, Tax, Treasury and Operations. Together, the team optimizes our global finance initiatives and enjoys being detailed-oriented while multitasking across various exciting project scopes Responsibilities Balance sheet reconciliation Extract and verify data from different reporting and different risk angles Ongoing monitoring of digital asset balances at specific cut-off times and elaborating digital asset movement Involvement in preparing daily, weekly, monthly treasury reports Support in the development and streamline of workflows Coordinate with the internal and external parties to handle day-to-day duties Assist in ad hoc tasks as assigned Requirements Degree or above in finance, accounting or economics Experience in Bank, FinTech, cryptocurrency and blockchain will also be considered Able to demonstrate basic data analytical skill and programming experiences The habit of paying painstaking attention to details, correct data and following procedures meticulously Capable to work in a challenging, fast-paced team-oriented environment Proficient in tableau, vba, excel formula is a plus #LI-CW1 #LI-Hybrid #LI-Associate Life @ Crypto.com Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team. Transformational and proactive working environment. Empower employees to find thoughtful and innovative solutions. Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth. Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another. One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet. Work Flexibility Adop

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Data Journalism team is looking for an experienced journalist with editing, management and data analysis skills to serve as an assistant editor. You'll help to run a group of data journalists who collaborate across the newsroom. You'll also advise on analyses conducted elsewhere in the newsroom. You should be obsessed with detail and rigor, display a knack for lifting stories to the next level and care deeply about developing your colleagues' talents. Collaboration is at the heart of this role; the Data Journalism team works with virtually every other desk in the newsroom. We'll expect you to deftly navigate these partnerships, which require crisp communication, a problem-solving attitude and a dash of diplomacy. This is an in-office position and includes regular attendance in the office four days a week. We have a preference for candidates who will work in New York City, with a secondary preference for Washington, DC. Important application requirement: Please submit a cover letter that describes your qualifications in the context of three stories (or projects) you helped to shape. For each, please provide a link to the work and describe your contributions in one to three paragraphs. Your cover letter should not exceed four pages in total. Within that limit, you are also welcome to provide a more traditional (but brief) description of your career and talents. Responsibilities: Help to lead the Data Journalism team Directly

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary: Micron Yield Improvement Failure Analysis Shift Technician that performs Electrical and Physical Failure Analysis (EFA/PFA) investigative work for defect issues identified by YE and Fab customers. Monitors recently probed material and categorizes dead die into known defect issue categories and investigates new or unknown defect issues. This position requires a strong sense of responsibility and passion, reflecting Micron’s core values: People, Innovation, Tenacity, Teamwork, and Customer Focus. Responsibilities: Performs initial data analysis on new issues, conducts failure analysis, documents findings, and summarizes investigation results—including potential root cause—into a single report for stakeholders. Efficiently operates all lab equipment in compliance with safety guidelines, with a strong understanding of equipment functionality and ability to perform basic troubleshooting. Supports Company and Department Objectives Works to support company and department objectives and vision plans Open to suggesting new ideas and participates in projects and teams in support of department and company objectives Minimum Requirements: Associates degree in Electronics, AC/DC Electronics Technology or equivalent Flexibility to work 12-hour shifts (3 on/4 off and 4 on/3 off) and be willing to move to different shifts and work overtime to support business operations. The ability to always wear lab-specific clean room garme

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Single-Family Data Analyst At Freddie Mac, you will do important work to build a better housing finance system, and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation. We are accepting applications for this position until 10/16/2026 Position Overview: The Single-Family division within Freddie Mac is searching for creative individuals to join our organization. This role is ideal for candidates with a strong foundation in statistical analysis, quantitative problem solving, and data-driven decision making. Successful candidates will demonstrate curiosity, strong communication skills, and an eagerness to learn how emerging technologies, including AI-enabled tools, can enhance business outcomes. Our Single-Family College Analyst Cohort program is crafted to ease the transition of college into the workforce by providing skills training and mentorship programs, as well as in-class learning opportunities with senior leadership. Our Impact: Single-Family relies on data analysis, quantitative modeling, and emerging technologies to support business decisions, risk management, and operational effectiveness. We provide data governance capabilities that help teams find, understand, and use data effectively across product, project, and delivery efforts. We support credit risk strategy, policy implementation, performance monitoring, and loan lifecycle analysis through data-driven insights. Your Impact: Document well written User Stories based on communication, discus

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... ClinChoice is searching for a Clinical R Data Scientist Consultant to join one of our clients. We are seeking a Clinical R Data Scientist Consultant with strong experience in R and a solid background in clinical programming . The ideal candidate will have hands-on experience developing SDTM and ADAM datasets using R, along with working knowledge of SAS. This role requires someone who can support clinical trial deliverables, ensure regulatory compliance, and collaborate closely with biostatistics and clinical data teams. Key Responsibilities Develop, validate, and maintain SDTM and ADaM datasets using R following CDISC standards. Support TLF (Tables, Listings, Figures) generation in R or SAS as needed. Write efficient, reproducible, and well-structured R scripts for clinical data analysis and reporting. Collaborate with statisticians, data managers, and clinical teams to understand programming requirements. Perform QC checks , reconcile data issues, and ensure deliverables meet regulatory expectations (e.g., FDA, EMA). Contribute to programming workflows, documentation, and version control best practices. Support automation initiatives and R-based pipeline development. Utilize SAS for legacy studies or where SAS support is required. Required Qualifications Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or related field. 2-3+ years of experience in clinical programming , with a strong focus on R. Proven experience in creating SDTM and ADaM datasets using R. Working knowledge of SAS programming . Solid understanding of CDISC standards (SDTM, ADaM). Experience with clinical trial data, regulatory submissions, and QC processes. Strong analytical, problem-solving, and documentat

Site visits and data Analysis Address: Sodexo India Service Pvt Ltd. 110/1 M Krishnappa Layout Lalbagh Road Bengaluru 560027 Facility: CORP Social Responsibility Qualification: Graduate Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP575214

ABOUT CUBIST Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. ROLE Quantitative alpha research requires mastery of multiple domains. The best research requires original research ideas, good intuition, strong data analysis skills, and good research planning. Our research directly drives our investment decisions. This role is highly selective. We have a long history of training extraordinarily talented academic researchers to succeed in the investment services industry. Prior experience in the financial services industry is not required. RESPONSIBILITIES Provide research assistance to full-time researchers Assist with data collection and preliminary analysis Follow, digest, analyze and improve upon the latest academic research DESIRABLE CANDIDATES Ph.D. candidates in finance, economics, mathematics, statistics, physics, computer science, or other quantitative discipline. Programming in any of the following: R, Python, or C++. Experience with SQL. Solid research experience in the field of the candidate’s specialty. Strong analytical and quantitative skills. Detail-oriented. Demonstrated ability to learn and apply new methodologies to real life problems. Willingness to take ownership of his/her work. Ability to work both independently and collaboratively within a team. Strong desire to deliver high quality results in a timely fashion. Prior experience in the financial services industry is not required.